Abstract
The target tracking issue has always been the hotspot in wireless sensor network, and with the emergence of new application in multimedia and real-time transmission, new requirements are proposed for transmission performance of target tracking routing; therefore, a software-defined network–based hierarchical adaptive routing algorithm of wireless sensor network is proposed in this article. The algorithm takes into account both network energy and throughput, uses Hopfield neural network algorithm to calculate the optimal path among adjacent clusters as a local routing (LR), and builds the Multi-choice Knapsack Problem model based on local paths to realize end-to-end global routing, in order to realize the routing of tracking target information under multi-objective conditions. The test bed includes physical and simulation tests. Experimental results show that the proposed algorithm is superior to low energy adaptive clustering hierarchy (LEACH) and Sequential Assignment Routing under different test scenarios.
Highlights
Wireless sensor network (WSN) refers to a group of spatially dispersed and dedicated sensors for monitoring and recording the physical conditions of the environment and organizing the collected data at a central location
With the increase of requirements on various new applications, such as the new requirement proposed by multimedia information acquisition and high-speed information transmission to transmission technology during target tracking, the traditional methods fail to meet performance requirements, and it is necessary to study new routing protocols so as to meet the application needs
The experimental results show that HAR-software-defined network (SDN) is superior to SAR, which can be explained by following reasons: [1] Initialization: initialization stage of algorithm plans all local paths without frequent modifying routing; [2] On-demand routing: global optimization, based on local paths, makes decisions according to target location, reducing the cost of route planning; [3] Controller is responsible for calculation: the controller components are responsible for main computing load, reducing the cost of WSN, and all nodes only need to transmit basic state information; and [4] Routing scheduling algorithm involves in calculation by viewing node energy as an important indicator
Summary
Wireless sensor network (WSN) refers to a group of spatially dispersed and dedicated sensors for monitoring and recording the physical conditions of the environment and organizing the collected data at a central location. According to research and analysis above, this article proposes a Hierarchical Adaptive Routing algorithm based on SDN (HAR-SDN), which uses multiobjective scheduling strategies combining energy and throughput after considering factors in transmission speed and energy consumption. High requirements are proposed by routing of moving target information to WSN: first, it needs to provide higher transmission rate to ensure real-time and efficient transmission of information; second, energy consumption factors must be taken into account by the network; and corresponding scheduling strategies are needed to track mobile target. The routing process involves in several clusters; it shows from definition of local path planning that there is a correspondence between adjacent clusters, which means there is hierarchical relationship in all sub-paths from target to sink nodes; it is necessary to classify sub-paths.
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